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Intelligems

Price-testing platform built specifically for Shopify, runs A/B tests on prices, free-shipping thresholds, and bundle offers to optimise contribution margin.

Daniel Busch
Written by Daniel Busch · Chief of Staff

In short

  • Built specifically for Shopify, deep integration with Shopify pricing and cart logic
  • Test variables: product prices, free-shipping thresholds, bundle offers, discount codes
  • Optimises for contribution margin, not just top-line revenue
  • Common at growth-stage DTC brands looking to test pricing without offending existing customers

What Intelligems is

Intelligems is a price-testing platform built specifically for Shopify and Shopify Plus stores. It enables A/B testing on the variables that most directly drive unit economics, product prices, free-shipping thresholds, bundle offers, discount codes, and optimises for contribution margin rather than raw conversion-rate uplift.

The Shopify-native integration is the key technical detail. Pricing experiments on Shopify are surprisingly hard to implement well because Shopify’s checkout, cart, and product pages need to consistently reflect the variant assigned to each visitor. Intelligems handles that orchestration.

What you can test

  • Product prices, show €49 vs €54 vs €59 to different visitor segments
  • Free-shipping thresholds, €50 vs €75 vs €100 minimum cart values
  • Bundle pricing, multiple bundle structures to find optimal mix
  • Discount-code copy and value, variant tests on promo offers
  • Shipping speeds and costs, test rate cards and delivery promises

Why pricing experimentation is uniquely valuable

Most marketing experiments test variants that affect conversion rate by single-digit percentages. Pricing experiments often move both conversion rate AND average order value AND contribution margin simultaneously, with multiplicative impact on unit economics.

A small AOV uplift translates directly into more LTV per customer and more headroom for CAC. The downside is risk: pricing changes affect existing customers who may notice and react. Intelligems’ segmentation handles this by running tests on traffic segments where customer-base risk is bounded (new visitors only, geographic segments, etc.).

Integration with broader analytics

Intelligems’ variant-assignment data needs to flow into the attribution and BI stack to enable cohort-level analysis beyond immediate conversion:

  • New-customer cohorts under each price variant tracked for LTV
  • Conversion-rate impact measured per variant + segment
  • Attribution patterns (which channels respond to which prices)
  • Long-term retention compared across pricing cohorts

Pricing tests that look profitable on conversion-rate-only metrics often reveal hidden LTV impacts when tracked over longer windows, Intelligems is more valuable when paired with serious cohort analytics.

FAQ about Intelligems

Does Intelligems only work on Shopify?

Yes, built specifically for Shopify and Shopify Plus. The deep integration with Shopify cart and checkout is the core technical capability. For non-Shopify stores, custom implementations or different tools (e.g. Static Pricing Engine) would be needed.

Is it safe to test prices on existing customers?

Generally no, Intelligems’ segmentation typically restricts tests to new visitors or specific geographic segments to bound the risk of existing-customer confusion or backlash. The tradeoff: smaller test samples, slower convergence, but lower customer-base risk.

What metrics should I track for pricing experiments?

Conversion rate, AOV, contribution margin per visitor, and long-term LTV per cohort. Short-term metrics (conversion rate, AOV) are easier to read but can mislead, a price uplift that boosts AOV may hurt long-term retention. Cohort analytics over months is the real measurement.

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